Interpretation of field change array data with time domain fractal lightning modeling
Brant E. Carlson1,2, Can Liang2, Phillip M. Bitzer3, Hugh J. Christian3, Nikolai G. Lehtinen2, Umran S. Inan2
1. University of Bergen, Bergen, Norway, 2. Electrical Engineering, Stanford University, Stanford, CA, USA, 3. University of Alabama, Huntsville, AL, USA

Despite much study, the physical processes involved in lightning and the associated electromagnetic emissions remain a mystery, with much effort thus far devoted to categorizing and describing the emissions. Time domain fractal lightning (TDFL) modeling provides an opportunity to improve on such reporting by connecting the observations to theories of the physics of lightning. Such connection allows meaningful interpretation of the observations in the context of the physics and provides better understanding of the behavior of the lightning channel. We present comparison of time domain fractal lightning modeling with lightning mapping array data and electric field records from the Huntsville Alabama Marx Meter Array (HAMMA), a network of field change meters with high time resolution capable of reconstructing the geometry and time development of the charge motions in a lightning discharge. These data are used to constrain the TDFL simulations, while the TDFL results are used to interpret the field change data. The role of the evolution of the lightning channel electrical properties, the channel corona sheath, and the geometric development of the channel are examined, and the physical implications of the HAMMA data are studied.